Difference between revisions of "Network Analysis of Interlocking Directorates"

From Analytics Practicum
Jump to navigation Jump to search
Line 13: Line 13:
 
<!--Body-->
 
<!--Body-->
 
==<font face="Corbel"  color= #8A740C>Our Project</font>==
 
==<font face="Corbel"  color= #8A740C>Our Project</font>==
[[File:Cover.png|600px|center]]
+
[[File:Cover.png|800px|center]]
 
<br/>
 
<br/>
 
Interlocking directorates has been an interesting topic that captured much attention from the researchers and the public for more than a century. Many methods have been developed to analyze this two-mode network, revealing its practical application in diverse fields of study.  
 
Interlocking directorates has been an interesting topic that captured much attention from the researchers and the public for more than a century. Many methods have been developed to analyze this two-mode network, revealing its practical application in diverse fields of study.  

Revision as of 05:45, 24 April 2015

Home Project Overview Findings & Insights Project Management Project Documentation Learning Outcomes

Our Project

Cover.png


Interlocking directorates has been an interesting topic that captured much attention from the researchers and the public for more than a century. Many methods have been developed to analyze this two-mode network, revealing its practical application in diverse fields of study.

In this study, we study the data from Singapore interlocking directorates network, visualize it using visual analytics tools, determine its patterns and propose some of the applications using the visualization and analysis results. Our proposed applications includes using interlocking directorates network to early detect the commitment of accounting fraud, as well as to aid the Singapore authorities in urban development planning.

This is the integration from the knowledge we have acquired from accounting, information systems, business administration and social sciences courses, which we hope the idea would be able to be applied in real life.

Important Updates

Our final presentation slides has been uploaded. Please visit Project Documentation to download.

Stakeholders

Team Members
LE Hoang Trinh
ZHENG Tianwei

Supervisors
Prof. KAM Tin Seong
Associate Professor of Information Systems
Senior Advisor, SIS Programmes in Analytics